A New Perspective To Stress-Strength Models

dc.contributor.author Eryılmaz, Serkan
dc.date.accessioned 2023-06-16T12:47:49Z
dc.date.available 2023-06-16T12:47:49Z
dc.date.issued 2011
dc.description.abstract The stress-strength models have been widely used for reliability design of systems. In these models the reliability is defined as the probability that the strength is larger than the stress. The analysis is then based on the binary reliability theory since there are two possible states for the system. In this paper, we study the stress-strength reliability in a different framework assigning more than two states to the system depending on the difference between strength and stress values. In other words, the stress-strength reliability is studied under multi-state system modeling. System state probabilities are evaluated and estimated under various assumptions on the system. The multicomponent form is also studied and some results are provided for large systems. en_US
dc.identifier.doi 10.1007/s10463-008-0211-3
dc.identifier.issn 0020-3157
dc.identifier.issn 1572-9052
dc.identifier.scopus 2-s2.0-79551686960
dc.identifier.uri https://doi.org/10.1007/s10463-008-0211-3
dc.identifier.uri https://hdl.handle.net/20.500.14365/882
dc.language.iso en en_US
dc.publisher Springer Heidelberg en_US
dc.relation.ispartof Annals of the Instıtute of Statıstıcal Mathematıcs en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Minimum variance unbiased estimator en_US
dc.subject Multi-state system en_US
dc.subject Stress-strength reliability en_US
dc.subject Reliability en_US
dc.subject Systems en_US
dc.title A New Perspective To Stress-Strength Models en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Eryılmaz, Serkan/0000-0002-2108-1781
gdc.author.scopusid 8203625300
gdc.author.wosid Eryılmaz, Serkan/AAF-9349-2019
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gdc.bip.influenceclass C4
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gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department İzmir Ekonomi Üniversitesi en_US
gdc.description.departmenttemp Izmir Univ Econ, Dept Math, Izmir, Turkey en_US
gdc.description.endpage 115 en_US
gdc.description.issue 1 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q3
gdc.description.startpage 101 en_US
gdc.description.volume 63 en_US
gdc.description.wosquality Q4
gdc.identifier.openalex W2043479577
gdc.identifier.wos WOS:000286919300006
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gdc.index.type Scopus
gdc.oaire.diamondjournal false
gdc.oaire.impulse 0.0
gdc.oaire.influence 5.458269E-9
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gdc.oaire.keywords Reliability and life testing
gdc.oaire.keywords Asymptotic distribution theory in statistics
gdc.oaire.keywords multi-state system
gdc.oaire.keywords minimum variance unbiased estimator
gdc.oaire.keywords Estimation in survival analysis and censored data
gdc.oaire.keywords stress-strength reliability
gdc.oaire.popularity 1.6310116E-8
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0101 mathematics
gdc.oaire.sciencefields 01 natural sciences
gdc.openalex.collaboration National
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gdc.opencitations.count 36
gdc.plumx.crossrefcites 18
gdc.plumx.mendeley 10
gdc.plumx.scopuscites 40
gdc.scopus.citedcount 40
gdc.virtual.author Eryilmaz, Serkan
gdc.wos.citedcount 38
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